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Record Nr. |
UNINA9910346035703321 |
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Autore |
Dawson Michael Robert William <1959-> |
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Titolo |
Connectionist representations of tonal music : discovering musical patterns by interpreting artificial neural networks / / Michael R.W. Dawson |
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Pubbl/distr/stampa |
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Edmonton, Alberta : , : AU Press, , [2018] |
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©2018 |
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ISBN |
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Descrizione fisica |
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1 online resource (312 pages) |
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Disciplina |
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Soggetti |
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Music - Psychological aspects |
Music - Physiological aspects |
Music - Philosophy and aesthetics |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Overture : Alien Music -- Science, Music, and Cognitivism -- Artificial Neural Networks and Music -- The Scale Tonic Perceptron -- The Scale Mode Network -- Networks for Key-Finding -- Classifying Chords with Strange Circles -- Classifying Extended Tetrachords -- Jazz Progression Networks -- Connectionist Reflections. |
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Sommario/riassunto |
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Intended to introduce readers to the use of artificial neural networks in the study of music, this volume contains numerous case studies and research findings that address problems related to identifying scales, keys, classifying musical chords, and learning jazz chord progressions. A detailed analysis of networks is provided for each case study which together demonstrate that focusing on the internal structure of trained networks could yield important contributions to the field of music cognition. |
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